200 search results - page 28 / 40 » State Estimation With Initial State Uncertainty |
IJCAI
2001
13 years 9 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
AAAI
1997
13 years 9 months ago
1997
Partially observable Markov decision processes (POMDPs) allow one to model complex dynamic decision or control problems that include both action outcome uncertainty and imperfect ...
ECAI
2010
Springer
13 years 8 months ago
2010
Springer
A Markov Decision Process (MDP) is a general model for solving planning problems under uncertainty. It has been extended to multiobjective MDP to address multicriteria or multiagen...
FQAS
1998
Springer
13 years 12 months ago
1998
Springer
Abstract. With more and more electronic information sources becoming widely available, the issue of the quality of these often-competing sources has become germane. We propose a st...
DCC
2006
IEEE
14 years 7 months ago
2006
IEEE
In this paper we present the B-coder, an efficient binary arithmetic coder that performs extremely well on a wide range of data. The B-coder should be classed as an `approximate&#...